Quantiphi
Data Architect
Quantiphi is seeking a highly experienced Data Architect to lead the design and implementation of scalable, secure, and future-ready enterprise data solutions. The ideal candidate will have deep expertise across AWS Cloud, Snowflake, and big data platforms, with a strong background in financial services or large regulatory organizations. Key responsibilities include: Define and implement enterprise-level data architecture strategies, frameworks, and standards. Design scalable and secure data models to support business intelligence, analytics, and application needs. Architect end-to-end data solutions across AWS Cloud, Snowflake, and big data ecosystems. Partner with business stakeholders to translate requirements into robust and optimized data architectures. Establish and maintain best practices for data governance, metadata management, and data quality frameworks. Evaluate, recommend, and implement modern tools and technologies to enhance the data ecosystem. Ensure architectural designs meet performance, scalability, and cost-efficiency goals. Collaborate with data engineers, analysts, and solution architects to ensure architectural integrity and alignment. Provide technical leadership, mentoring, and guidance to junior engineers. Drive advanced analytics enablement and innovation across teams. Basic qualifications include: Bachelor's degree in Computer Science, Engineering, or a related field. 9+ years of experience in a large IT organization, with at least 8 years in Information Management, Business Intelligence, and Data Analytics. 5+ years of experience architecting and implementing solutions in financial or regulatory organizations. 58 years of hands-on experience in data engineering. Strong expertise in SQL, Python, and AWS Cloud technologies. Hands-on experience with Snowflake for data warehousing and analytics. Proficiency in data architecture and data modeling. Practical experience with AWS Glue, S3, Lambda, and Redshift (or equivalent). Solid knowledge of Scala/Spark for large-scale data processing. Strong understanding of ETL/ELT pipelines, data governance, and performance optimization. Experience in the Financial Services or Asset Management domain preferred. Exposure to modern data architecture and databases (RDBMS, SQL, Graph, etc.). Familiarity with SageMaker, CloudFormation, and cloud-based data formats such as Athena. Proven experience in Master Data Management (MDM) setup, implementation, and execution. Deep understanding of architectural patterns, frameworks, and reference models for data and analytics. Relevant certifications such as AWS, Google Cloud, Azure, or Snowflake are required. What's in it for YOU at Quantiphi: Make an impact at one of the world's fastest-growing AI-first digital engineering companies. Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues. Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines. Stay ahead of the curveimmerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Quantiphi is seeking a highly experienced Data Architect to lead the design and implementation of scalable, secure, and future-ready enterprise data solutions. The ideal candidate will have deep expertise across AWS Cloud, Snowflake, and big data platforms, with a strong background in financial services or large regulatory organizations. Key responsibilities include: Define and implement enterprise-level data architecture strategies, frameworks, and standards. Design scalable and secure data models to support business intelligence, analytics, and application needs. Architect end-to-end data solutions across AWS Cloud, Snowflake, and big data ecosystems. Partner with business stakeholders to translate requirements into robust and optimized data architectures. Establish and maintain best practices for data governance, metadata management, and data quality frameworks. Evaluate, recommend, and implement modern tools and technologies to enhance the data ecosystem. Ensure architectural designs meet performance, scalability, and cost-efficiency goals. Collaborate with data engineers, analysts, and solution architects to ensure architectural integrity and alignment. Provide technical leadership, mentoring, and guidance to junior engineers. Drive advanced analytics enablement and innovation across teams. Basic qualifications include: Bachelor's degree in Computer Science, Engineering, or a related field. 9+ years of experience in a large IT organization, with at least 8 years in Information Management, Business Intelligence, and Data Analytics. 5+ years of experience architecting and implementing solutions in financial or regulatory organizations. 58 years of hands-on experience in data engineering. Strong expertise in SQL, Python, and AWS Cloud technologies. Hands-on experience with Snowflake for data warehousing and analytics. Proficiency in data architecture and data modeling. Practical experience with AWS Glue, S3, Lambda, and Redshift (or equivalent). Solid knowledge of Scala/Spark for large-scale data processing. Strong understanding of ETL/ELT pipelines, data governance, and performance optimization. Experience in the Financial Services or Asset Management domain preferred. Exposure to modern data architecture and databases (RDBMS, SQL, Graph, etc.). Familiarity with SageMaker, CloudFormation, and cloud-based data formats such as Athena. Proven experience in Master Data Management (MDM) setup, implementation, and execution. Deep understanding of architectural patterns, frameworks, and reference models for data and analytics. Relevant certifications such as AWS, Google Cloud, Azure, or Snowflake are required. What's in it for YOU at Quantiphi: Make an impact at one of the world's fastest-growing AI-first digital engineering companies. Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues. Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines. Stay ahead of the curveimmerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!